Conducting a systematic review or meta-analysis demands precision at every stage, and data extraction is where that precision matters most. A structured extraction process is what turns raw study data into synthesis-ready evidence.
This webinar is designed for researchers at all levels looking to build consistent, traceable, and collaboration-ready data extraction workflows in Covidence. We will explore how to create and customize a structured extraction template using our Extraction 1 tool, designed for reviews that compare groups and collect numerical results for synthesis. You'll learn how to organise comparison groups, outcomes, and timepoints, and leverage Covidence's new automation features to reduce manual workload while preserving reviewer judgement and accountability.
By the end of this session, participants will be able to:
Use the PICO framework to develop extraction fields aligned with their review question
- Create and customise a data extraction template in Covidence's Extraction 1 tool, including comparison groups, outcomes, and timepoints
- Apply Covidence's AI-assisted suggestions to streamline extraction and reduce manual effort
- Export synthesis-ready data in formats compatible with RevMan Web, Excel, and CSV
If you can't attend live, register anyway, and you will receive a recording within 48 hours of the session.
The webinar is organized by Covidence Support.
